Senior Data Engineer
Core
Design, build, and own the data infrastructure powering investment operations, spanning ingestion, transformation, warehousing, analytics, and machine learning to serve the Investment Committee and business partners.
Role type
Senior Data Engineer (Financial Services)
Builds
Scalable, governed, automated data systems including ETL/ELT pipelines, Snowflake warehouses, and AI data foundations.
Domain
Financial Services / Investment Operations / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python (5+ years), Apache Airflow, Snowflake architecture, Advanced SQL, Terraform/AWS CDK, Data modeling, AWS Lambda
Preferred skills
Financial data vendors (Bloomberg, FactSet, etc.), LLM integration patterns (RAG, embeddings), Tableau, CI/CD pipelines, Machine Learning fundamentals
Technologies
Python, Apache Airflow, AWS (MWAA, Lambda, S3, CloudWatch), Snowflake, Terraform, AWS CDK, Tableau, GitHub Actions
Responsibilities
Design and maintain robust ETL/ELT pipelines; Architect and optimize Snowflake data warehouse; Define cloud infrastructure as code; Build automated data quality checks; Develop analytical models and dashboards; Integrate AI capabilities for forecasting and anomaly detection.
Seniority
Senior, hands-on IC